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Channel
柬埔寨租车|西港租车|二手车买卖
@xigangche
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
36,322subscribers
+8,372 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1002400735223 |
|---|---|
| Type | Channel |
| Username | @xigangche |
| Description | ✈️一个卖车的小姐姐: @Apple78978999 #柬埔寨租车 #柬埔寨卖车 #西港车行 #西港买车 请注意识别,防止被诈骗或敲诈勒索! 商务合作联系:t.me/Flau0228 发布联系:t.me/Flau0228 管理:t.me/yysd8886 柬埔寨大事件 @JPZDSJ 东南亚大事件 t.me/JPZDSJ886 |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 5 September 2026 |
| Measurements held | 26 |
| Confirmed unchanged | 1 time, most recently 5 September 2026 |
| On Telegram | t.me/xigangche |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 5 Sept 2026, 19:38 | 36,322 | +5,707 |
| 3 Sept 2026, 17:59 | 30,615 | -394 |
| 2 Sept 2026, 09:56 | 31,009 | +5,505 |
| 1 Sept 2026, 08:08 | 25,504 | -292 |
| 31 Aug 2026, 09:14 | 25,796 | -379 |
| 30 Aug 2026, 07:04 | 26,175 | -774 |
| 29 Aug 2026, 04:25 | 26,949 | -646 |
| 28 Aug 2026, 02:13 | 27,595 | +2,641 |
| 27 Aug 2026, 01:56 | 24,954 | -385 |
| 26 Aug 2026, 03:05 | 25,339 | +1,627 |
| 25 Aug 2026, 00:08 | 23,712 | -453 |
| 23 Aug 2026, 12:47 | 24,165 | -267 |
| 22 Aug 2026, 00:13 | 24,432 | -608 |
| 20 Aug 2026, 20:03 | 25,040 | -2,942 |
| 19 Aug 2026, 19:03 | 27,982 | -325 |
| 18 Aug 2026, 16:37 | 28,307 | -1,927 |
| 17 Aug 2026, 17:56 | 30,234 | +6,509 |
| 16 Aug 2026, 16:13 | 23,725 | -851 |
| 15 Aug 2026, 00:48 | 24,576 | -395 |
| 13 Aug 2026, 13:19 | 24,971 | first reading |
Engagement
651 posts held, back to 6 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 62 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.019%
- avg views ÷ 36,322 subscribers
- Avg views / post
- 7.1
- 612 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 612
- of 651 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
| Window | Rolling 30 days · latest post in window 7 September 2026 |
|---|---|
| Posts held | 651 (6 August 2026 – 7 September 2026) |
| Views total | 4,320 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Sept 2026, 13:20 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
- Photos
- ≈24,500
- Videos
- ≈3,150
- Links
- ≈8,270
Lifetime counters from Telegram’s own channel header, read 7 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
- Video runtime
- 1h 15m
- Average length
- 19s
Measured directly from 242 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1 | 100.0% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 1 of the 651 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 1 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 651 most recent posts we hold, published 6 August 2026 to 7 September 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Recent posts
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Showing the 12 most recent of 651 posts we hold for @xigangche. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Named by 17 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
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@DNY_DSJ2 · 43,931186 posts东南亚头条事件
@DNY_DSJ3 · 48,016186 posts东南亚新闻-大事件-爆料
@YNXWDSJBL · 105,451151 posts柬埔寨二手市场|二手市场|手机电脑|公寓出租
@JBRSSC · 40,94885 posts西港二手|二手家具|手机电脑|公寓出租
@xigangdsj · 41,38877 posts北极星科技 |平台搭建|网站开发
@dajian365 · 19,60411 posts东方科技|网站搭建|平台搭建|TikTok商城
@dajianwl · 20,20711 posts柬埔寨甩人|西港招聘|金边招聘
@JPZSR · 42,7639 posts金边会所/金边修车/美女鉴赏
@JBSBHMVJS · 18,6391 post
Names
Channels on the register whose handles appear in this channel's posts.
@y3guojicheng · 7,10050 posts2028体育综合台官方频道
@pg2028ty · 9,33648 posts柬埔寨二手市场|二手市场|手机电脑|公寓出租
@JBRSSC · 40,94843 posts成年人影库|高清资源每日更新
@cnryk · 1,70541 posts全网热榜吃瓜中心——-G7.COM独家冠名
@DJDNYBG · 9,23941 postsG7.COM 柬埔寨商家信息导航
@G7JPZSJ · 4,63341 posts东南亚大事件|华人新闻|热点爆料
@SEAUPD · 28,13141 posts成人小说|情色小说|小说精选
@SYXS88 · 2,36641 posts北极星科技 |平台搭建|网站开发
@dajian365 · 19,60437 posts白馬會🏆柬埔寨官方頻道
@BMH_CAMBODIA · 55433 posts灰产爆光大事件
@HCBGDSJ · 138,68930 posts柬埔寨大事件|新闻曝光|安危头条
@JPZDSJ · 207,14230 posts柬埔寨甩人|西港招聘|金边招聘
@JPZSR · 42,76330 posts西港二手|二手家具|手机电脑|公寓出租
@xigangdsj · 41,38830 posts柬埔寨交友|同城交友|狗推大队
@xiganglm · 5,17229 posts鉴黄大事件 男人的俱乐部
@NanRenClubYellow · 29,79826 posts豪博娱乐总群( 储备1亿USDT钱包可查)
@hbyl · 7,57122 posts搜女推广 / 推特粉丝 / Twitter粉丝 / X增粉
@zhuqiu88 · 1822 postsbolai.com铂莱世界杯冠名
@blzhaoshang · 5,12520 posts🔥西湖娱乐城-xihu.cc-【实力招商】🔥
@xihuzs · 5,09420 posts足球圈—G7.COM独家冠名
@zhuqiu7 · 2,60719 postsN1国际官方频道
@n1svip · 4,90018 posts182体育官方频道
@ty182svip · 2,34418 posts8T娱乐城 官方-频道
@www8tcom · 43,32517 posts
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Handles this channel named that no longer answer
- Dead references
- 3
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 3
- vacant every time we have ever looked
@xigangche named 3 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 1 post, 4 September 2026 – 4 September 2026
named in 1 post, 29 August 2026 – 29 August 2026
named in 1 post, 9 August 2026 – 9 August 2026
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 5 September 2026 — this entry's latest reading, not the date you are reading this.
“柬埔寨租车|西港租车|二手车买卖” (@xigangche), 36,322 subscribers as measured 5 September 2026. Telegram Register, tgregister.com/channel/xigangche.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.